Energy system optimization dispatching method and device

An energy system and optimal scheduling technology, applied in the energy industry, resources, instruments, etc., can solve problems such as poor operability, uncertain fluctuations in energy demand, and uncertain failures of internal equipment in the system, and achieve the effect of improving the economic benefits of enterprises

Active Publication Date: 2017-07-28
INST OF PROCESS ENG CHINESE ACAD OF SCI
View PDF13 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current research results are mainly aimed at the energy optimization problem under the parameter determination, ignoring the uncertain factors in the actual production process, such as the uncertain fluctuation of energy demand in the production system, the uncertain change of energy price and the internal equipment of th

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Energy system optimization dispatching method and device
  • Energy system optimization dispatching method and device
  • Energy system optimization dispatching method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] figure 1 It is a flow chart of an energy system optimal scheduling method provided by an embodiment of the present invention. The method can be executed by an energy system optimal scheduling device, wherein the device can be implemented by software and / or hardware, and can generally be integrated into an intelligent terminal such as a computer. Such as figure 1 As shown, the method includes:

[0023] S110. According to the uncertain variables in the energy system and the probability distribution of the uncertain variables, construct a scene set of uncertain gas generation and demand for steam and electricity.

[0024] In this embodiment, the uncertain variables in the energy system refer to uncertain factors in the actual production process of the energy system, such as uncertain fluctuations in the energy demand of the production system, uncertain changes in energy prices, and internal equipment failures in the energy system Not sure etc. Exemplarily, the uncertain...

Embodiment 2

[0091] figure 2 It is a flow chart of an energy system optimal scheduling method provided by an embodiment of the present invention. On the basis of the above-mentioned embodiments, this embodiment adds a step of: establishing a deterministic model of the energy system optimal scheduling, and according to the scenario Set up and establish the uncertainty model optimization of the optimal scheduling of the energy system: according to the set of scenarios, based on stochastic programming theory, transform the deterministic model into an uncertainty model of the optimal scheduling of the energy system.

[0092] Such as figure 2 As shown, the method of the present embodiment includes the following steps:

[0093] S210. According to the uncertain variables in the energy system and the probability distribution of the uncertain variables, construct a scene set of uncertain gas generation and demand for steam and electricity.

[0094] S220. Establish a deterministic model for opti...

Embodiment 3

[0161] Figure 3a It is a flow chart of an energy system optimal scheduling method provided by an embodiment of the present invention. On the basis of the above embodiments, this embodiment adds a step of: acquiring energy system data, wherein the energy system data includes energy system network topology, The characteristic data of each unit equipment in the gas, steam and electricity subsystems, the supply and demand forecast data of various energy media, the production maintenance plan and the scheduling parameters determined by the user, and will solve the uncertainty model to obtain the energy system The optimization of the optimal scheduling scheme is as follows: transform the single-objective multi-constraint optimization problem in the uncertainty model into a two-objective unconstrained optimization problem; use the multi-objective differential evolution algorithm based on Pareto optimal Solving; outputting the optimal scheduling scheme of the energy system.

[0162]...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

An embodiment of the invention discloses an energy system optimization dispatching method and device. The method comprises the following steps: according to uncertain variables in an energy system and probability distribution of the uncertain variables, constructing a scene set under gas generation and steam electricity demand uncertainty; constructing an uncertainty model for energy system optimization dispatching according to the scene set; and solving the uncertainty model to obtain an optimization dispatching scheme of the energy system. According to the technical scheme, coordinated optimization dispatching of multi-energy mediums under an uncertain environment is realized, the energy system is allowed to operate economically and economic benefit of an enterprise is improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of energy system optimal scheduling, and in particular, to a method and device for energy system optimal scheduling. Background technique [0002] The iron and steel industry is an important basic industry in my country, and it is also a large energy-consuming household in the manufacturing industry, accounting for more than 15% of the country's energy consumption. The problem of high energy consumption has increasingly become an important issue restricting the development of the iron and steel industry. In recent years, my country's iron and steel enterprises have made important progress in system energy-saving technology. Many enterprises have completed the construction of enterprise-level energy management systems, which has promoted the development of energy-saving work in enterprises, realized the informatization of energy management, and integrated energy operation data. Collec...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/06
CPCG06Q10/06313G06Q10/06315Y02P80/10Y02P90/82
Inventor 肖炘曾玉娇曹宏斌
Owner INST OF PROCESS ENG CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap